7、OpenCV Python 高斯模糊

 __author__ = "WSX"
 import cv2 as cv
 import numpy as np
 #高斯模糊  基于权重（卷积）
 #高斯模糊 去燥效果很好

 #高斯模糊
 def  guss_blur(img): #去燥  基于卷积
     dst = cv.blur(img , (5 ,5))  #卷积核大小（1*3）
     cv.imshow("Show", dst)

 def deal( number ):
     if number > 255:
         return 255
     elif number < 0:
         return 0
     else:
         return number

 def guss_noise(img): #加燥,自己写的
     h,w,c = img.shape
     for i in range(h):
         for j in range(w):
             s = np.random.normal(0 , 20 ,3)
             b = img[i ,j ,0]
             g = img[i, j, 1]
             r = img[i, j, 2]
             img[i, j, 0] = deal(b + s[0])
             img[i, j, 1] = deal(g + s[1])
             img[i, j, 2] = deal(r + s[2])
     cv.imshow("noise", img)

 #cv.GaussianBlur(img ,(5,5) ,15) 高斯模糊 5*5

 def main():
     img = cv.imread("1.JPG")
     cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
     #guss_blur(img)
     guss_noise(img)
     cv.waitKey(0)
     cv.destroyAllWindows()

 main()